Using Neural Networks to generate new rock climbs for the moon board
An API wrapper for moonboard
An app that uses a CNN to classify whether a satellite image shows an area would be a good rock climbing spot or not. On streamlit.
Scrapes Mountain Project and helps find the best areas for your climbing preferences
Python scrapy-based repository for mining information associated with MountainProject
This project explores the application of reinforcement learning (RL) to train humanoid robots for dynamic rock climbing movements, focusing on achieving the challenging "dyno" maneuver. Using the Proximal Policy Optimization (PPO) algorithm, the simulation integrates physics-based environments to model realistic climbing scenarios.
ClimbHarder aims to provide a full-featured platform for climbing training, using quantitative/qualitative measurements, and artificial intelligence to dynamically build training plan tailored to the individual athlete response to training, provide insights based on the user population and much more.
Tools for plotting statistics of climbing cams
Python script to export 8a.nu logbook
Database of climbing routes including geo, height, grade and other details. Projects involves Python BeautifulSoup data scraping from popular online databases (right now it's only one website, but more to come). More features may be added as the project evolves.
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